Data Engineer vs Software Engineer

Data Engineer vs Software Engineer

By: rkspark

Many people today do not know the difference between data and software engineering. These are in the list of the terms that people tend to interchange in their definitions. Data engineering or science can be described as the study of extracting or converting data from the form it appears in to knowledge. This knowledge can then be used by entrepreneurs to nurture their businesses and even make developments to their businesses. Data science or engineering is the tool that has helped business people to sell and push their products.

Software engineering on the other hand can be defined as the development, designing and maintenance of software so that it is of high quality. This makes clear all the requirements ad sets the base from which development can start and proceed with ease.

Comparison between data engineering vs software engineering

Below are some of the comparisons made between a big data engineer vs a software engineer to help you further understand the differences between the two:
1. The importance of data engineering is to discover the best ways to manage the incoming data and make good insights. The importance of software engineering on the other hand is ensure that the software products that are delivered are not faulty or prone to breaking.
2. The method used for data engineering is ETL. This is the process of getting data from all the sources and putting it in a format that is easy to analyses ad and work with. The data is then loaded into the system. On the other hand, the basis and methodology used for software engineering is Software Development Lifecycle (SDL).

3. In terms of approach, data engineering is process oriented. Pattern recognition, logarithm implementation and crunching numbers are some of the processes in data engineering. Software engineering on the other hand is methodology and framework oriented. Agile, framework and waterfall are some of the framework in software engineering.

4. Some of the tools used in data engineering include data visualization, analytics tools and even database tools. On the other hand, some of the tools used in software engineering include database tools for software, web application, and testing and continuous integration tools. Database tools for software and analytics and design tools are also the other tools for software engineering.

5. The environments, platforms and eco-systems in data engineering include data warehouse, flink, Hadoop, spark and Map R. On the other hand, software engineering uses project management, user-interface development programing maintenance and reverse engineering and even business planning and modelling.

6. The required skills for a data engineer vs software engineer also differ. The skills required for data engineering include the knowhow to build data products and visualization for better understanding. Knowledge of domains, data mining, algorithms, machine learning, structured unstructured data, big data processing and statistics, coding and probability are other skills for data engineers. On the other hand, the skills required for software engineering include analyzing and understanding user needs, programing languages, build and release management. Building and configuration tolls are also very important skills in software engineering.

7. The sources of data for data engineers include sensor data, the social media, machine log data, business apps, public data banking systems and even transactions. The sources of data for software engineers on the other hand include new features development, demand for the special functionalities and even end user needs.

There are any other differences between data engineering and software engineering. All the information on the differences between a data engineer vs software engineer can be found in many articles in the internet today. For more information and description of these two terms, it would be helpful to look into the other additional sites for more information.

The article above seeks to give the major differences between data engineering and software engineering. In conclusion, the major difference between these two can be said to be that data engineering is decision making that is driven by the gathered and analyzed data. Software engineering on the other hand can be said to be the process of creating and developing software products. In addition to the article above, there are also many other articles in the internet. You can search for these articles and read them to learn more about digital engineering and software engineering and all their differences.
Back to Top